话题与观点
Discoverability, citations, and measurement in AI search and answer engines.
2 位人物 · 1 个来源 · 3 条观点内容更新于:
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2 位人物 · 1 个来源 · 3 条观点
Liam Dunne describes AI search as the broader category and answer-engine optimization as one area within it.
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原始摘录
So I would say AI search is like the broad category. And then within that, you'd have answer engine optimization.How to get discovered in AI search
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打开该集并跳转至2:17。
Liam Dunne says his team observed no correlation between upvotes and citations. He notes that content itself showed a stronger association with citations, while acknowledging these patterns may shift over time.
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原始摘录
What we have observed is engagement in terms of upvotes. We haven't seen that correlate with increased citations. What we have seen highest correlation with is the actual content itselfHow to get discovered in AI search
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打开该集并跳转至44:13。
Ben Moore warns against optimizing for a single prompt and recommends focusing on topical coverage instead.
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原始摘录
do not run down the rabbit hole of being like, is this one prompt and I would love to rank on it. You wanna basically model like, from like, basically a topical domain standpointHow to get discovered in AI search
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时间点来自所提供的转录稿，尚待媒体回放核对。
打开该集并跳转至17:43。
这些是个人表达的观点，并非共识度量。原始资料保持其原始语言。
nafyi.